Sep 1, 2025 | Analytics, Marketing
Goodhart’s law tells us that when a measure becomes a KPI, it ceases to be a good measure. The full text of his observation appeared in the footnotes of his presentation at a conference in 1970 held by the Reserve Bank of Australia: “Whenever a government seeks to rely on previously observed statistical regularity for control purposes that regularity will collapse’
That observation is as relevant to every enterprise as it is to government.
Every dashboard produced by CRM systems I have seen makes the mistake of trashing Dr. Goodhardt’s insight.
Customers are subjected to all sorts of profiling as marketers do another iteration of their ‘ideal customers’ and ‘customer Journey’ maps using a different set of assumptions.
One set rarely used, at least rarely in my experience is the ‘inert’ customer.
Most analyses of customers I have seen use some variation of the pareto distribution. A few customers are deemed heavy users, with a decreasing level of usage down to light and occasional. The only alternative to one of these descriptions is ‘Lost’.
Any examination of ‘lost’ customers will reveal that a significant percentage of them are those that simply went ‘inert’ following a failure of customer service to meet their expectations.
For some, the expectations are unrealistic, for others, it is more like a metaphorical shrug of the shoulders. These customers are not lost, they may be just inert, and possibly able to be reactivated by a demonstration of the customer service they expected being available.
Figuring out who in your lost customers list is really just inert may just require asking. This is always far cheaper, and in my experience, more effective than hunting for new customers.
A former client had an extensive list of what they deemed ‘lost’ opportunities. They sold (and still do) a complex product that did a specific job much better than the alternative standard product. When they interrogated that ‘Lost’ data base they discovered that a sizeable proportion had not bought elsewhere. They had gone ‘inert.’ Some were just waiting for a ‘nudge’ which was often just the information and reassurance that the product they initially enquired about was the most appropriate for the job that they had put on the back burner.
Header: Charles Goodhardt speaking to a large audience.
Jul 18, 2025 | Branding, Marketing
When you ask that question: ‘What is the most effective word in Sales” of a group, any group, the majority will respond with the word ‘free’.
The problem of course is that the question included the word sales, and by definition, free does not constitute a sale, simply an exchange. It might lead to a sale down the track and often does which is why it is used so extensively to sell digital products, the so-called freemium model.
This however is not what I regard to be the most effective word in sales.
That word is ‘imagine’.
If you were and estate agent seeking to convince a young couple that the house they were looking at currently was the right one for them to buy now, there are a bunch of tactics you could use. Most would be articulating the benefits of the house, location, condition, number of bedrooms, quiet neighborhood, and so on.
By contrast if the agent simply used the words ‘ imagine carrying your new bride over the threshold of your new home‘ leads to a different conversation and probably outcome.
One of my clients, Windows Factory, sells and installs thermally broken uPVC windows and doors. The temperature stability and resulting comfort, coupled with the reduction in power costs delivered by this technology are wonderful. However, for some, the greater benefit is that this technology dramatically reduces transmission of outside noise.
The sales conversion ratio difference between these two statements is dramatic:
- ‘ These thermally broken uPVC windows reduce outside noise by 70%’
- ‘ Imagine being having a quiet conversation with your partner uninterrupted by the noise from the road outside’.
Try it. There is no limit to the domains where human imagination can take us.
All it takes is some thought that allows you to summon an emotional response to your offer, adding to any benefit delivered by a recitation of the rational benefits.
Header credit: The late, great, John Lennon.
Jun 2, 2025 | AI, Communication, Governance
Analysis implies the intelligent interrogation of data, the use of differing ‘frames’ through which to see the data, and to enable those non obvious connections to be made.
First you need ‘clean’ data, without which, nothing that follows will be worth much.
Thoughtful, critical analysis of data leads to insight, from which comes that elusive lightbulb moment.
Reporting is the opposite, it simply requires the cleaning, summarising and posting of the data without the critical thought from which real insight evolves.
No lightbulb.
AI is good at that, while not being good at generating insight.
Being data rich but insight poor is now a very common problem.
AI will not solve it for you, people are needed. Not just any people, seat warmers, but the right people with the curiosity and ‘why not’ attitude of youth, combined with the wisdom of experience and domain knowledge.
Unfortunately, these people do not grow on trees, ready for the picking. You have to grow and nurture them yourself, while recognising that many will move on at some point. The old adage of a rising tide lifts all boats is nowhere more relevant.
Apr 28, 2025 | AI, Change, Governance
American Roy Amara first coined what has become known as Amara’s law.
‘We tend to overestimate the effects of technology in the short term, and underestimate the effects in the long run’.
‘It was put more simply by (I think) Reid Hoffman who said: ‘the future is like a windscreen coming at a moth at 100mph.’
The initial excitement, hype, enthusiasm for the idea is followed by a period of underperformance, and disillusionment, before the real impact of the technology kicks in and changes the way we do things. Gartner’s well thumbed ‘Hype cycle’ is a better known version of Amara’s law.
Time and again over the last 30 years we have seen this effect on vivid display.
The internet, smartphones, AI, electric vehicles, Hydrogen as an energy source, (just entering the disillusionment stage) and many others.
It can also be applied to wider contexts, we just need to look for it.
Advertising.
No new TV ad campaign was ever released into the world without exalted expectations about the sales that would result coming from the ad agencies and those often clueless advertisers paying the freight. Then, unexpectantly, the ad is shown to be a dog, and is quietly euthanised.
Climate change.
Remember the hype and enthusiasm for ‘doing something’ that accompanied Al Gore’s influential doco ‘An Inconvenient Truth’ back in 2006. Nothing happened, the hype and enthusiasm was drowned by hubris and short term individual, corporate and political self-interest. While it seems unlikely at the moment, I remain confident that realisation will hit soon that we must take remedial action now in order to mitigate the long term becoming worse. Meanwhile. continuing to do nothing more than provide lip service ensures the moth will hit the windscreen in my grandchildren’s lifetime.
Business.
There are cycles of ‘fashionable’ management frameworks that seem to come, become the next great management breakthrough, undergoes the hype, then is shown to be np more than an emperor dressed in some transparent new clobber. Sometimes they re-emerge rebranded to go through the process again. Michael Hammers 1993 book ‘Re-engineering the corporation’ was such a fashion. I recall sitting around a board table listening to a very slick but hollow (even obvious to me at that time) presentation by a high priced consultant making promises of easily won great profit improvements from an aggressive ‘re-engineering’ of my then employer. That business hit the windscreen several years later, having cherry-picked the easy bits of the process, while ignoring those that actually made the long term difference because they were too hard. A few years later, Al ‘Chainsaw’ Dunlap had another run at it which made him a fortune, but left chaos in his wake. There are many more examples, the fall of GE from the largest corporation in the world to being virtually broke being one.
Politics.
Governments are relentlessly hyping the impact of their latest policy, more intensely than usual around election time. They whip up enthusiasm, at least amongst their acolytes, then falling into the trough of hubris. Usually, there is a renewal under a different name at a later time, often the next election. Remember the ‘Gonski reforms’ to education hyped by the then government, and supported in principle at least by the then opposition? Swept under the carpet of hubris and self-interest, again. Similarly, the 2010 Henry tax review was received by a grateful government who then shelved it. We may now have reached a point where the dust will be partially removed by necessity.
Americans are in the midst of waking up, again, to the reality of a second Trump administration. My contacts over there indicate dismay bordering on horror, and most of the working class Trump voters are about to learn the cost of the hype to them. The US moth seems likely to be splattered over the windscreen by the 2026 mid-term elections.
Artificial Intelligence.
Occasionally, the outcomes go way beyond what was originally envisaged. AI has been evolving for decades, but it exploded into the wider public awareness when ChatGPT was launched in November 2022. We are still experiencing the upswing in the hype cycle; I am certainly playing my small part. However, at some point I suspect soon, the tsunami of tools emerging, the sheer complexity of choice being forced on us will overwhelm all but the few, and we will collectively throw our hands in the air when the robot that does our washing does not appear. This collective action, if that is the way it occurs, will just let the first movers race away with the lollies.
The hype cycle remains around us, daily impacting on our lives. Its greatest risk is that we let it drive our decision making by making short term choices that are strategically flawed.
Apr 24, 2025 | AI, Marketing, Strategy
‘Lean thinking’ is a mindset and toolbox to drive optimisation. Little more, beyond the use of common sense and humanity.
Prominent amongst the tools, and the one I probably use the most is ‘5 why’.
AI has given us an entirely new use case that leverages the insights that a 5 why process when done thoughtfully can deliver.
Prompt development.
There are now hundreds of prompt templates and mnemonics emerging from the woodwork, many claiming to be ‘the one’.
All I have seen use a variation of the Lean ‘5 why’ tool.
Most AI users look at the first output of a prompt into any of the LLM tools, and it is sub-par. Generic recitations of what the trained information base reflects as best practice. The beauty of these data driven assistants is that you can push back as much as you like without them taking it personally.
You can point out areas of failure, misinformation, gobbledy-gook, or imagined fairy tales. You can ask for specifics, deeper analysis, sources, or give it examples. The output then improves with each iteration.
You can also ask it what you might have forgotten to ask, or has been missed for some reason, and ask for suggestions. This interrogation of the tool can reveal things you would not have thought of under normal circumstances.
Go through that process 5 times, and in all likelihood, you will not only have something entirely different to the first response, but it will also be infinitely better, and tailored to the need. You will have cleared away the unnecessary, banal, insignificant, and generic, leaving a response that equates to a first principle response to your evolved prompting.
Continuous improvement by AI driven lean thinking.
What a boon!
